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1. Stock-Prediction Stock-Prediction Public

   Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

   Jupyter Notebook 195 39

2. Biomedical-Knowledge-Graph Biomedical-Knowledge-Graph Public

   Information extraction from unstructured text to build a knowledge graph using techniques from traditional NLP to pre-trained transformers and LLMs for NER and Linking, and Relation Extraction.

   Jupyter Notebook 12

3. Document-Metadata-Extract Document-Metadata-Extract Public

   An application to import, iterate over, open, extract metadata and output information for a list of PDF and Excel documents hosted on a website to identify missing metadata fields.

   Python 1

4. Domain-Checker Domain-Checker Public

   An application to import, iterate over, acquire WHOIS data and perform a DNS lookup for a list of domains. Regular expressions are then used to identify patterns and categorise domain names.

   Python

5. Boston-Housing Boston-Housing Public

   Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.

   Jupyter Notebook 1

6. Titanic Titanic Public

   Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.

   Jupyter Notebook